Video Viewing Path Framing for Wide Field Navigation
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Solution Overview
Problem
Manually changing the punchout of wide field of view videos to display different spatial portions is difficult and time-consuming.
Innovation Solution
A system and method for determining viewing paths through videos by analyzing framing information and user interactions to automatically position a viewing window within the field of view, allowing for dynamic changes in viewing direction, size, and rotation based on progress through the video content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manually changing punchout to display different spatial portions, then user control over viewing content is maintained, but operation difficulty and time consumption increase
Solution Approach 1:
The system pre-calculates and stores viewing paths that map spatial locations to temporal segments of the video. When a user selects a spatial portion, the system automatically retrieves the corresponding temporal segment from pre-computed viewing paths, eliminating the need for manual frame-by-frame searching and reducing navigation time significantly.
Solution Approach 2:
The patent introduces an intermediary indexing structure that links spatial coordinates to temporal segments. This intermediary layer allows the system to translate spatial user selections into appropriate temporal video segments without requiring direct manual manipulation of the video playback, thereby simplifying operation and reducing time consumption.
2Productivity
If providing automated viewing path determination, then navigation efficiency is improved, but system complexity increases
Solution Approach 1:
The patent segments the video into discrete temporal segments associated with specific spatial locations. Each viewing path is divided into discrete segments that can be independently indexed and retrieved. This segmentation allows complex automated navigation to be broken down into manageable units, reducing the perceived system complexity while maintaining high navigation efficiency.
Solution Approach 2:
The system creates a simplified index structure that copies essential spatial-temporal relationships from the full video data. This index acts as a compressed representation that enables automated viewing path determination without requiring the system to process the entire video in detail, thereby reducing computational complexity while maintaining navigation efficiency.
3Loss of information
If displaying multiple visual portions simultaneously, then information completeness is improved, but user attention and interface simplicity are compromised
Solution Approach 1:
The system dynamically adjusts the viewing window position and size based on the selected spatial location and the corresponding viewing path. Rather than displaying multiple fixed portions simultaneously, the interface dynamically focuses on the relevant temporal segment, providing complete information for the selected area while maintaining a simple, focused user interface that adapts to user needs.
Data Source
AI summary
Multiple framings of a video may define different positionings of a viewing window at different moments within the video. The positionings of the viewing window defined by the multiple framings may be used as fixed positionings of the viewing window in a viewing path. The viewing path may define changes in the positioning of the viewing window between the fixed positionings. A presentation of the video may be generated to include the extents of the video within the viewing window.